| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| from typing import Any, List, Tuple |
| from pypaimon.table.row.internal_row import InternalRow |
| from pypaimon.table.row.row_kind import RowKind |
| |
| |
| class ProjectedRow(InternalRow): |
| """ |
| An implementation of InternalRow which provides a projected view of the underlying InternalRow. |
| Projection includes both reducing the accessible fields and reordering them. |
| Note: This class supports only top-level projections, not nested projections. |
| """ |
| |
| def __init__(self, index_mapping: List[int]): |
| """ |
| Initialize ProjectedRow with index mapping. |
| Args: |
| index_mapping: Array representing the mapping of fields. For example, |
| [0, 2, 1] specifies to include in the following order the 1st field, the 3rd field |
| and the 2nd field of the row. |
| """ |
| self.index_mapping = index_mapping |
| self.row = None |
| |
| def replace_row(self, row: InternalRow) -> 'ProjectedRow': |
| self.row = row |
| return self |
| |
| def get_field(self, pos: int) -> Any: |
| """Returns the value at the given position.""" |
| if self.index_mapping[pos] < 0: |
| return None |
| return self.row.get_field(self.index_mapping[pos]) |
| |
| def get_blob(self, pos: int): |
| """Returns the Blob at the projected position; delegates to the inner row.""" |
| if self.index_mapping[pos] < 0: |
| return None |
| return self.row.get_blob(self.index_mapping[pos]) |
| |
| def get_vector(self, pos: int): |
| if self.index_mapping[pos] < 0: |
| return None |
| return self.row.get_vector(self.index_mapping[pos]) |
| |
| def get_row_kind(self) -> RowKind: |
| """Returns the kind of change that this row describes in a changelog.""" |
| return self.row.get_row_kind() |
| |
| def __len__(self) -> int: |
| """Returns the number of fields in this row.""" |
| return len(self.index_mapping) |
| |
| def __str__(self) -> str: |
| """String representation of the projected row.""" |
| return (f"{self.row.get_row_kind().name if self.row else 'None'}" |
| f"{{index_mapping={self.index_mapping}, row={self.row}}}") |
| |
| @staticmethod |
| def from_index_mapping(projection: List[int]) -> 'ProjectedRow': |
| """ |
| Create an empty ProjectedRow starting from a projection array. |
| Args: |
| projection: Array representing the mapping of fields. For example, |
| [0, 2, 1] specifies to include in the following order |
| the 1st field, the 3rd field and the 2nd field of the row. |
| Returns: |
| ProjectedRow instance |
| """ |
| return ProjectedRow(projection) |
| |
| def to_tuple(self) -> Tuple[Any, ...]: |
| assert isinstance(self.row, InternalRow), ( |
| f"Expected InternalRow, but got {type(self.row).__name__}" |
| ) |
| return tuple( |
| self.row.get_field(index) |
| if index >= 0 else None |
| for index in self.index_mapping |
| ) |